| （英） |
To realize smart cities, the utilization of digital twins, which represent the real urban spaces in a virtual environment, is highly anticipated. However, construction and maintenance of digital twins require vast amounts of spatial information from city environments. Our laboratory proposes a 3D mobile crowdsensing system using mobile devices equipped with light detection and ranging (LiDAR) sensors. This system collects point cloud data using the LiDAR on mobile devices held by participants and aggregates the data on a server. In the current implementation, real-time, verification of aggregated point cloud data is difficult; therefore, visualization is necessary for analysis and validation.
In this presentation, we implement a function to visualize the collected point cloud data within the 3D mobile crowdsensing system, achieving tailored visualization for various use cases and conducting operational verification. |